The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Implicit Renewal Theory and Tails of Solutions of Random Equations
Open accessAbstract
For the solutions of certain random equations, or equivalently the stationary solutions of certain random recurrences, the distribution tails are evaluated by renewal-theoretic methods. Six such equations, including one arising in queueing theory, are studied in detail. Implications in extreme-value theory are discussed by way of an illustration from economics.
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Cites
Engle, R. F. (1982) · Econometrica · doi:10.2307/1912773 · Cited by 20,795
Cited by
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(2017) · Stochastic Processes · doi:10.1201/9781315381619-26 · Cited by 434
The Distribution of Wealth and Fiscal Policy in Economies With Finitely Lived Agents
(2011) · Econometrica · doi:10.3982/ecta8416 · Cited by 422
Jessen, H., & Mikosch, T. (2006) · Publications de l'Institut Mathematique · doi:10.2298/pim0694171j · Cited by 236
Metadata
- Authors
- Goldie, C. M.
- Venue
- The Annals of Applied Probability
- Publisher
- Institute of Mathematical Statistics
- Published
- 1991-02-01
- Volume
- 1
- Issue
- 1
- ISSN
- 1050-5164 (ISSN-L)
- OpenAlex
- W2005924742
- Cited by
- 534
- References
- 1
- FWCI
- 4.45
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Goldie, C. M. (1991). Implicit Renewal Theory and Tails of Solutions of Random Equations. The Annals of Applied Probability. https://doi.org/10.1214/aoap/1177005985
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
